Estimation on conditional restricted mean survival time with counting process. Issue 5 (3rd September 2019)

• Record Type: Journal Article
• Authors: Qiu, Junshan; Gu, Ennan; Zhou, Dali; Lawrence, John; Bai, Steven; Hung, Hsien Ming J.
• Is Part Of: Journal of biopharmaceutical statistics. Volume 29:Issue 5(2019)
• Page Start: 800
• Page End: 809
• Publication Date: 2019-09-03
• Subjects: Restricted mean survival time -- survival analyses -- proportional hazard; Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2019.1657129
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: In traditional survival analyses, hazard ratio (HR) is commonly used to evaluate treatment effects. However, HR may not be easy to interpret. Restricted mean survival time is a viable alternative to HR, particularly when the proportional hazards assumption is not satisfied. We developed a conditional restricted mean survival time (CRMST) estimator for a time interval of interest using counting process. The variance of CRMST was estimated using a perturbation re-sampling method for asymptotic normality. The utility of our CRMST seems promising based on comprehensive simulation studies and a real data case study.